Data Collection Operator

Welocalize • San Francisco, CA

6d • Onsite

About The Position

We’re hiring data collection operators to support physical AI programs. In this role, you’ll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models. This is hands-on, execution-focused work. You’ll be working with real hardware in structured environments, following defined scenarios, and helping produce the data that directly shapes how physical AI devices learn and perform.

Requirements

• Bachelor’s degree or equivalent work experience
• Strong hand-eye coordination and spatial awareness
• Comfortable using controllers, keyboards, or specialized interfaces for extended periods
• Basic computer skills, including PC and Linux troubleshooting.
• Working knowledge of MS Office and Google Drive
• Ability to follow detailed procedures with high accuracy
• Clear written and verbal communication skills

Nice To Haves

• Experience with gaming, simulation tools, or technical systems is a plus
• Exposure to robotics, autonomous systems, drones, or simulation environments
• Experience with teleoperation, remote control systems, or QA/testing workflows
• Familiarity with data collection, logging, or annotation processes
• Ability to quickly learn new software applications
• Interest in AI, robotics, or emerging technologies
• Experience working in structured, metrics-driven environments

Responsibilities

• Operate physical AI data devices
• Execute structured tasks (e.g., navigation, pick/place, object interaction) across different environments
• Follow detailed instructions and adapt to evolving guidelines
• Capture and validate data (video, sensor inputs, task logs) during operation
• Identify and flag edge cases, failures, or unexpected system behavior
• Maintain consistency and accuracy across repeated task runs
• Partner with onsite teams (engineering, QA, program leads) to improve workflows
• Support fast iteration cycles as tasks, tools, and priorities evolve

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level